Senior Product Analyst


Posted on 5/15/2024



501-1,000 employees

Mobile growth and attribution platform provider


Palo Alto, CA, USA

Required Skills
Data Science
Data Analysis
  • Bachelor’s Degree in Computer Science, Statistics, Mathematics, or related field. Masters preferred.
  • 5+ years of experience in product data analysis and data science.
  • Strong knowledge of SQL, Snowflake, Python, Looker, DBT, Airflow, and R as well as other data analysis tools.
  • Experience with data visualization tools (outputting visualizations from Python or R; building dashboards in Looker or Tableau).
  • Experience building data warehouse with multiple data layers, using DBT.
  • Experience applying behavioral analytics to user data.
  • Experience working in B2B fast paced environment, as part of in-house product organization.
  • Ability to interpret complex data and draw meaningful conclusions.
  • Experience to do detailed and complex analysis that is then packaged and presented to non-technical audiences.
  • Insatiable curiosity and are enjoying digging for the next layer of insights, constantly asking “why”.
  • Desire to self start new projects and work across all functions from product to engineering to drive results.
  • Excellent problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Collect, analyze, and interpret product data to identify trends and insights that can be used to inform product strategy, design, and development.
  • Develop and maintain data models to help visualize and understand the product and user behavior.
  • Design and implement advanced machine learning models ensuring optimal performance and integration, enhancing our capabilities in handling large, complex datasets.
  • Operationalize models by developing and deploying scalable machine learning solutions.
  • Quarterly usage read out to Leadership including insights on customer segments and user adoption.
  • Be the trusted expert for all things product and user data.
  • Create dashboards and reports to track product metrics and performance.
  • Collaborate with product and engineering teams to collect additional data required to answer important business questions.
  • Establish and maintain data standards and quality assurance practices to ensure accuracy and consistency across product data sets.
  • Monitor data for anomalies and errors, and identify opportunities for improvement.
  • Present insights and recommendations from your analysis to product leadership to influence product strategy.
  • Stay up-to-date with industry trends and best practices in product data analysis.

Branch offers a Mobile Growth & Attribution Platform for Enterprises and Brands, providing solutions for paid advertising, owned and earned channels, and guidance through privacy and industry changes. Their technologies include Mobile Measurement Partner (MMP), Universal Ads, SafeTrack, Engagement Builder, SKAdNetwork Support, Cost Aggregation, Fraud Protection, Mobile Linking Platform (MLP), Journeys, QR Codes, Universal Email, SEO App Attribution, and Deepviews®.

Company Stage

Series F

Total Funding



Palo Alto, California



Growth & Insights

6 month growth


1 year growth


2 year growth